Spotter

A model based active geolocation service

Sándor Laki, Péter Mátray, Péter Hága, Tamás Sebok, I. Csabai, G. Vattay

Research output: Chapter in Book/Report/Conference proceedingConference contribution

60 Citations (Scopus)

Abstract

The localization of Internet hosts opens space for a wide scope of applications, from targeted, location aware content provision to localizing illegal content. In this paper we present a novel probabilistic approach, called Spotter, for estimating the geographic position of Internet devices with remarkable precision. While the existing methods use landmark specific calibration for building their internal models we show that the delay-distance data follow a generic distribution for each landmark. Hence, instead of describing the delay-distance space in a landmark specific manner our proposed method handles all the calibration points together and derives a common delay-distance model. This fundamental discovery indicates that, in contrast to prior techniques, Spotter is less prone to measurement errors and other anomalies such as indirect routing. To demonstrate the robustness and the accuracy of Spotter we test the performance on PlanetLab nodes as well as on a more realistic reference set collected by CAIDA explicitly for geolocation comparison purposes. To the best of our knowledge, we are the first to use this novel ground truth containing over 23000 network routers with their geographic locations.

Original languageEnglish
Title of host publicationProceedings - IEEE INFOCOM
Pages3173-3181
Number of pages9
DOIs
Publication statusPublished - 2011
EventIEEE INFOCOM 2011 - Shanghai, China
Duration: Apr 10 2011Apr 15 2011

Other

OtherIEEE INFOCOM 2011
CountryChina
CityShanghai
Period4/10/114/15/11

Fingerprint

Calibration
Internet
Measurement errors
Routers

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

Cite this

Laki, S., Mátray, P., Hága, P., Sebok, T., Csabai, I., & Vattay, G. (2011). Spotter: A model based active geolocation service. In Proceedings - IEEE INFOCOM (pp. 3173-3181). [5935165] https://doi.org/10.1109/INFCOM.2011.5935165

Spotter : A model based active geolocation service. / Laki, Sándor; Mátray, Péter; Hága, Péter; Sebok, Tamás; Csabai, I.; Vattay, G.

Proceedings - IEEE INFOCOM. 2011. p. 3173-3181 5935165.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Laki, S, Mátray, P, Hága, P, Sebok, T, Csabai, I & Vattay, G 2011, Spotter: A model based active geolocation service. in Proceedings - IEEE INFOCOM., 5935165, pp. 3173-3181, IEEE INFOCOM 2011, Shanghai, China, 4/10/11. https://doi.org/10.1109/INFCOM.2011.5935165
Laki S, Mátray P, Hága P, Sebok T, Csabai I, Vattay G. Spotter: A model based active geolocation service. In Proceedings - IEEE INFOCOM. 2011. p. 3173-3181. 5935165 https://doi.org/10.1109/INFCOM.2011.5935165
Laki, Sándor ; Mátray, Péter ; Hága, Péter ; Sebok, Tamás ; Csabai, I. ; Vattay, G. / Spotter : A model based active geolocation service. Proceedings - IEEE INFOCOM. 2011. pp. 3173-3181
@inproceedings{c01efa9b27e1481c99e1c26f87b46e70,
title = "Spotter: A model based active geolocation service",
abstract = "The localization of Internet hosts opens space for a wide scope of applications, from targeted, location aware content provision to localizing illegal content. In this paper we present a novel probabilistic approach, called Spotter, for estimating the geographic position of Internet devices with remarkable precision. While the existing methods use landmark specific calibration for building their internal models we show that the delay-distance data follow a generic distribution for each landmark. Hence, instead of describing the delay-distance space in a landmark specific manner our proposed method handles all the calibration points together and derives a common delay-distance model. This fundamental discovery indicates that, in contrast to prior techniques, Spotter is less prone to measurement errors and other anomalies such as indirect routing. To demonstrate the robustness and the accuracy of Spotter we test the performance on PlanetLab nodes as well as on a more realistic reference set collected by CAIDA explicitly for geolocation comparison purposes. To the best of our knowledge, we are the first to use this novel ground truth containing over 23000 network routers with their geographic locations.",
author = "S{\'a}ndor Laki and P{\'e}ter M{\'a}tray and P{\'e}ter H{\'a}ga and Tam{\'a}s Sebok and I. Csabai and G. Vattay",
year = "2011",
doi = "10.1109/INFCOM.2011.5935165",
language = "English",
isbn = "9781424499212",
pages = "3173--3181",
booktitle = "Proceedings - IEEE INFOCOM",

}

TY - GEN

T1 - Spotter

T2 - A model based active geolocation service

AU - Laki, Sándor

AU - Mátray, Péter

AU - Hága, Péter

AU - Sebok, Tamás

AU - Csabai, I.

AU - Vattay, G.

PY - 2011

Y1 - 2011

N2 - The localization of Internet hosts opens space for a wide scope of applications, from targeted, location aware content provision to localizing illegal content. In this paper we present a novel probabilistic approach, called Spotter, for estimating the geographic position of Internet devices with remarkable precision. While the existing methods use landmark specific calibration for building their internal models we show that the delay-distance data follow a generic distribution for each landmark. Hence, instead of describing the delay-distance space in a landmark specific manner our proposed method handles all the calibration points together and derives a common delay-distance model. This fundamental discovery indicates that, in contrast to prior techniques, Spotter is less prone to measurement errors and other anomalies such as indirect routing. To demonstrate the robustness and the accuracy of Spotter we test the performance on PlanetLab nodes as well as on a more realistic reference set collected by CAIDA explicitly for geolocation comparison purposes. To the best of our knowledge, we are the first to use this novel ground truth containing over 23000 network routers with their geographic locations.

AB - The localization of Internet hosts opens space for a wide scope of applications, from targeted, location aware content provision to localizing illegal content. In this paper we present a novel probabilistic approach, called Spotter, for estimating the geographic position of Internet devices with remarkable precision. While the existing methods use landmark specific calibration for building their internal models we show that the delay-distance data follow a generic distribution for each landmark. Hence, instead of describing the delay-distance space in a landmark specific manner our proposed method handles all the calibration points together and derives a common delay-distance model. This fundamental discovery indicates that, in contrast to prior techniques, Spotter is less prone to measurement errors and other anomalies such as indirect routing. To demonstrate the robustness and the accuracy of Spotter we test the performance on PlanetLab nodes as well as on a more realistic reference set collected by CAIDA explicitly for geolocation comparison purposes. To the best of our knowledge, we are the first to use this novel ground truth containing over 23000 network routers with their geographic locations.

UR - http://www.scopus.com/inward/record.url?scp=79960867378&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79960867378&partnerID=8YFLogxK

U2 - 10.1109/INFCOM.2011.5935165

DO - 10.1109/INFCOM.2011.5935165

M3 - Conference contribution

SN - 9781424499212

SP - 3173

EP - 3181

BT - Proceedings - IEEE INFOCOM

ER -